Bring your own models

Instead of using one of the pre-deployed Large Language Models (LLM), you may configure custom model that will use provider of your choice and your own API keys. To do this, add your model in the Models screen and specify the provider, model, and API key. Once added, you can select your custom model in the Agent’s configuration screen.

The following custom models and providers are currently supported:

Provider	Models
OpenAI	gpt-5.2 gpt-5.1 gpt-5 gpt-5-mini gpt-5-nano gpt-realtime () gpt-mini-realtime () gpt-4.1 gpt-4.1-mini gpt-4.1-nano gpt-4o gpt-4o-mini gpt-4o-realtime() gpt-4o-mini-realtime() gpt-oss-120b gpt-oss-20b gpt-3.5-turbo gpt-4-turbo
Azure OpenAI	gpt-5.2 gpt-5.1 gpt-5 gpt-5-mini gpt-5-nano gpt-realtime () gpt-mini-realtime () gpt-4.1 gpt-4.1-mini gpt-4.1-nano gpt-4o gpt-4o-mini gpt-4o-realtime () gpt-4o-mini-realtime () gpt-oss-120b gpt-oss-20b gpt-3.5-turbo gpt-4-turbo
Google	gemini-3-pro gemini-3-flash gemini-2.5-pro gemini-2.5-flash gemini-2.5.flash-lite gemini-2.5-flash-native-audio (*) gemini-2.0-flash gemini-2.0-flash-lite
Google Vertex AI	gemini-3-pro gemini-3-flash gemini-2.5-pro gemini-2.5-flash gemini-2.5.flash-lite gemini-2.5-flash-native-audio (*) gemini-2.0-flash gemini-2.0-flash-lite
Anthropic	claude-sonnet-4-5 claude-haiku-4-5 claude-sonnet-4 claude-haiku-4 claude-4-0-sonnet claude-3-7-sonnet claude-3-5-sonnet claude-3-5-haiku
Groq	llama-3.1-8b-instant llama-3.3-70b-versatile meta-llama/llama-4-maverick-17b-128e-instruct meta-llama/llama-4-scout-17b-16e-instruct openai/gpt-oss-120b openai/gpt-oss-20b
Amazon	nova-micro nova-lite nova-pro nova-sonic () nova-2-lite nova-2-sonic ()
Mistral	mistral-small mistral-medium mistral-large ministral-8b ministral-14b magistral-small magistral-medium
xAI	grok-4-1-fast-reasoning grok-4-1-fast-non-reasoning grok-4-fast-reasoning grok-4-fast-non-reasoning grok-3-mini grok-3 grok-voice (*)

Models marked with (*) are realtime models. For details, see Real-time models